Design And Development Of OCT Fundus Detection Equipment

With the continuous emergence of high-tech products and the continuous improvement of living standards,the problems of eyes have become more seriously,and it is an important part of human “sub-health”.Optical coherence tomography is a new imaging technology.It is suitable for industrial measurement,medical diagnosis and other fields.With the increasing demand for imaging technology in the ophthalmology field,OCT is widely used in fundus image diagnosis due to its high resolution,low cost,non-invasive imaging and other characteristics.This paper intends to design an automatic fundus diagnosis system.Firstly,for the requirement of measuring the depth of the fundus,some suitable optical devices were selected to build a spectral domain OCT system.Secondly,based on this OCT hardware system,LabVIEW is used as the control system development platform to write the control program of the OCT system,which realizes the functions of controlling system operation,collecting data and saving data.Then,based on the composition analysis of the spectral signal,combined with Fourier transform,linear interpolation,dispersion compensation,the image reconstruction algorithm is written.Finally,an optimization diagnosis method based on support vector machine is designed.The optimization method not only integrates the dimension reduction methods such as principal component analysis and kernel principal component analysis,but also designs the optimization program of dimensionality reduction,which greatly improves the classification accuracy.Moreover,the optimization method also uses grid search and genetic algorithm to optimize the parameters of the support vector machine.In order to verify the practicability of the optimization method,the international OCT database,2014_BOE_Srinivasan,was selected for lesion diagnosis.The experimental results show that this optimization method has achieved good results in the diagnosis of age-related macular degeneration and diabetic macular edema.In a word,this paper constructs an automatic diagnosis system for automatic fundus disease,which realizes the function of fundus detection imaging and automatic lesion diagnosis.Moreover,this system has been used in practice and can be further optimized to be adapted to other lesion systems.Therefore,the system has far-reaching application value in the medical field.